DIRECTION FINDING IN THE PRESENCE OF COLORED NOISE BY CANDIDATE IDENTIFICATION

It is shown that the higher order reflection coefficients of a set of plane waves impinging on a uniform linear array of sensors in the presence of an unknown spatially autoregressive colored noise process, are equal to an order independent linear combination of the values of the Fourier transform of the corresponding optimal linear least squares normalized prediction error filter at the electric phase angles of the plane waves. This relationship is then proposed as a viable method for identifying true angles of arrivals of the plane waves in a given set of candidate true and spurious angles. The estimation of candidate angles is also briefly discussed.